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The Linked Data Benchmark Council Project
<span title="2013-05-22">2013</span>
<i title="Springer Nature">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2md4vy5wrff7tl4i7hse65hita" style="color: black;">Datenbank-Spektrum</a>
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The consortium will incorporate the Linked Data Benchmark Council (LDBC) which will survive the project and will supervise the process of obtaining and reporting results as well as Supported by LDBC EU ...
recently launched a European Commision sponsored project that will offer the first comprehensive set of open and vendor-independent benchmarks for RDF and Graph technologies. ...
Conclusions In this paper we presented the Linked Data Benchmarking Council, the initiative towards RDF/Graph benchmarking. ...
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13222-013-0125-y">doi:10.1007/s13222-013-0125-y</a>
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In-Depth Benchmarking of Graph Database Systems with the Linked Data Benchmark Council (LDBC) Social Network Benchmark (SNB)
[article]
<span title="2019-07-17">2019</span>
<i >
arXiv
</i>
<span class="release-stage" >pre-print</span>
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In this study, we present the first results of a complete implementation of the LDBC SNB benchmark -- interactive short, interactive complex, and business intelligence -- in two native graph database systems ...
Nonetheless, Neo4j is generally faster at bulk loading graph data up to SF-100. A key to our study is the active involvement of the vendors in the tuning of their platforms. ...
Nonetheless, the findings presented in this report are the sole contribution of the authors. ...
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LITMUS: An Open Extensible Framework for Benchmarking RDF Data Management Solutions
[article]
<span title="2016-08-09">2016</span>
<i >
arXiv
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<span class="release-stage" >pre-print</span>
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Developments in the context of Open, Big, and Linked Data have led to an enormous growth of structured data on the Web. ...
We present LITMUS, a framework for benchmarking data management solutions. ...
Graphium [6] is a similar study benchmarking RDF stores against Graph stores (Neo4J, Sparksee/DEX, HypergraphDB, RDF-3X) on graph datasets including a 10M triple graph data generated using the Berlin ...
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RBench
<span title="">2015</span>
<i title="ACM Press">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxrc3vebzzachiwy3nopwi3h5u" style="color: black;">Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15</a>
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As more RDF data management systems and RDF data querying techniques emerge, RDF benchmarks providing a controllable and comparable testing environment for applications are needed. ...
RBench analyzes several features from the given RDF dataset, and uses them to reconstruct the new benchmark graph. ...
The Linked Data Benchmark Council (LDBC) [3] works to bridge the best practices of the TPC (Transaction Processing Council) to the benchmark of RDF database industry. ...
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2723372.2746479">doi:10.1145/2723372.2746479</a>
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Graph Generators: State of the Art and Open Challenges
[article]
<span title="2020-01-22">2020</span>
<i >
arXiv
</i>
<span class="release-stage" >pre-print</span>
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The abundance of interconnected data has fueled the design and implementation of graph generators reproducing real-world linking properties, or gauging the effectiveness of graph algorithms, techniques ...
This survey provides a comprehensive overview of the state-of-the-art graph generators by focusing on those that are pertinent and suitable for several data-intensive tasks. ...
ACKNOWLEDGMENTS The authors would like to thank Dr. Kamesh Madduri for consultations and suggestions on the covered areas. ...
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<a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2001.07906v1">arXiv:2001.07906v1</a>
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BigDataGrapes D7.1 - Scalability and Robustness Experimental Methodology
<span title="2019-06-28">2019</span>
<i title="Zenodo">
Zenodo
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We analyze the state-of-the-art for big data benchmarking considering different challenges which range from preserving the 4V properties of big data to streaming and scalability issues. ...
In particular, the purpose of the task 7.1 is to develop and to implement a rigorous automated testing methodology for measuring and comparing the efficiency of the components in a big data system. ...
A particularly suited set of benchmarks for desired graph database functionalities is LDBC 15 (Linked Data Benchmark Council). ...
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.1481772">doi:10.5281/zenodo.1481772</a>
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BigDataGrapes D7.1 - Scalability and Robustness Experimental Methodology
<span title="2019-06-28">2019</span>
<i title="Zenodo">
Zenodo
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We analyze the state-of-the-art for big data benchmarking considering different challenges which range from preserving the 4V properties of big data to streaming and scalability issues. ...
In particular, the purpose of the task 7.1 is to develop and to implement a rigorous automated testing methodology for measuring and comparing the efficiency of the components in a big data system. ...
A particularly suited set of benchmarks for desired graph database functionalities is LDBC 13 (Linked Data Benchmark Council). ...
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BigDataGrapes D7.1 - Scalability and Robustness Experimental Methodology
<span title="2021-01-15">2021</span>
<i title="Zenodo">
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Since in the BDG project the semantic infrastructure is represented by graph databases, we also describe the main limitations of the current benchmarking in the conte [...] ...
In particular, the purpose of the task 7.1 is to develop and to implement a rigorous automated testing methodology for measuring and comparing the efficiency of the components in a big data system. ...
A particularly suited set of benchmarks for desired graph database functionalities is LDBC 15 (Linked Data Benchmark Council). ...
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SQLGraph
<span title="">2015</span>
<i title="ACM Press">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxrc3vebzzachiwy3nopwi3h5u" style="color: black;">Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data - SIGMOD '15</a>
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We show that existing mature, relational optimizers can be exploited with a novel schema to give better performance for property graph storage and retrieval than popular noSQL graph stores. ...
The schema combines relational storage for adjacency information with JSON storage for vertex and edge attributes. ...
An ongoing property graph benchmark project is the Linked Data Benchmark Council [2] , where a Social Network Benchmark is under development targeting interactive graph workloads, but the current queries ...
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An overview of graph databases and their applications in the biomedical domain
<span title="2021-05-18">2021</span>
<i title="Oxford University Press">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ejkvir3kzbdojf5kygupkidsca" style="color: black;">Database: The Journal of Biological Databases and Curation</a>
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In this work, we survey the literature to explore the evolution, performance and how the most recent graph database solutions are applied in the biomedical domain, compiling a great variety of use cases ...
Over the past couple of decades, the explosion of densely interconnected data has stimulated the research, development and adoption of graph database technologies. ...
Within standard benchmarks, the Linked Data Benchmark Council (LDBC) (35) is one of the most consistent works in this topic, and its workloads have been employed and adapted in many benchmarking studies ...
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<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/database/baab026">doi:10.1093/database/baab026</a>
<a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34003247">pmid:34003247</a>
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Benchmarking Graph Data Management and Processing Systems: A Survey
[article]
<span title="2021-09-22">2021</span>
<i >
arXiv
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<span class="release-stage" >pre-print</span>
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The development of scalable, representative, and widely adopted benchmarks for graph data systems have been a question for which answers has been sought for decades. ...
We conduct an in-depth study of the existing literature on benchmarks for graph data management and processing, covering 20 different benchmarks developed during the last 15 years. ...
Another initiative is the Linked Data Benchmarking Council (LDBC) which develops industry-strength benchmarks targeting RDF and graph data management systems [4] . ...
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A performance benchmark over semantic rule checking approaches in construction industry
<span title="">2017</span>
<i title="Elsevier BV">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/jjncpntwzzhwvdgo4fxfwndiwy" style="color: black;">Advanced Engineering Informatics</a>
</i>
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As more and more architectural design and construction data is represented using the Resource Description Framework (RDF) data model, it makes sense to take advantage of the logical basis of RDF and implement ...
a semantic rule checking process as it is currently not available in the architectural design and construction industry. ...
Acknowledgments For their financial support, the authors would like to thank the Special Research Fund (BOF) of Ghent University, the China Scholarship Council (CSC), the French company ACTIVe3D and the ...
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Monitoring of Unaccounted for Gas in Energy Domain Using Semantic Web Technologies
<span title="">2021</span>
<i title="Computers, Materials and Continua (Tech Science Press)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/pu36lprddffgdbdb5n2qwfvaxa" style="color: black;">Computer systems science and engineering</a>
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Semantization is achieved by replicating heterogeneous devices Sensor Model Language (SenML) data into Resource description framework (RDF) without human interventions. ...
Billions of heterogeneous devices link to each other in smart urbanization, and this has led to the Semantic interoperability (SI) problem between the connected devices. ...
Funding Statement: The authors received no specific funding for this study.
Conflicts of Interest: The authors declare that they have no conflicts of interest to report regarding the present study. ...
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A web-based system architecture for ontology-based data integration in the domain of IT benchmarking
<span title="2017-05-29">2017</span>
<i title="Informa UK Limited">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ut7u4aw6tjepbkmmtf7tux26bm" style="color: black;">Enterprise Information Systems</a>
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In the domain of IT benchmarking (ITBM), a variety of data and information are collected. ...
To preserve the semantic meaning of the data, the ITBM ontology is linked to data sources and functions as the central concept for database access. ...
Acknowledgments This work was conducted using the Protégé resource, which is supported by grant GM10331601 from the National Institute of General Medical Sciences of the United States National Institutes ...
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The LDBC Graphalytics Benchmark
[article]
<span title="2022-03-31">2022</span>
<i >
arXiv
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The benchmark comes with open-source software for generating performance data, for validating algorithm results, for monitoring and sharing performance data, and for obtaining the final benchmark result ...
In this document, we describe LDBC Graphalytics, an industrial-grade benchmark for graph analysis platforms. ...
Participation of Industry and Academia The Linked Data Benchmark Council (ldbcouncil.org, LDBC), is an industry council formed to establish standard benchmark specifications, practices and results for ...
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